$ cd /path/to/Dockerfile
$ sudo docker build .
View running processes
| [LFR] : Wang, H., Abraham, Z., 2015. Concept drift detection for stream- ing data. In: International Joint Conference on Neural Networks (IJCNN). IEEE, pp. 1–9. | |
| [DDM] : Gama, J., Medas, P., Castillo, G., Rodrigues, P., 2004. Learning with drift detection. In: Advances in artificial intelligence–SBIA 2004. Springer, pp. 286–295. | |
| [EDDM] : Baena-Garcıa, M., del Campo-A ́vila, J., Fidalgo, R., Bifet, A., Gavalda, R., Morales-Bueno, R., 2006. Early drift detection method. In: Fourth international workshop on knowledge discov- ery from data streams. Vol. 6. pp. 77–86. | |
| [ADWIN] : Bifet, A., Gavalda, R., 2007. Learning from time-changing data with adaptive windowing. In: SDM. Vol. 7. SIAM | |
| [Resampling] : Harel, M., Mannor, S., El-Yaniv, R., Crammer, K., 2014. Concept drift detection through resampling. In: Proceedings of the 31st Inter- national Conference on Machine Learning (ICML-14). pp. 1009– 1017. | |
| [OLINDDA] : Spinosa, E. J., de Leon F de Carvalho, A. P., Gama, J., 2007. Olindda: A cluster-based approach for detec |
| import requests | |
| import base64 | |
| from tqdm import tqdm | |
| master_json_url = 'https://178skyfiregce-a.akamaihd.net/exp=1474107106~acl=%2F142089577%2F%2A~hmac=0d9becc441fc5385462d53bf59cf019c0184690862f49b414e9a2f1c5bafbe0d/142089577/video/426274424,426274425,426274423,426274422/master.json?base64_init=1' | |
| base_url = master_json_url[:master_json_url.rfind('/', 0, -26) + 1] | |
| resp = requests.get(master_json_url) | |
| content = resp.json() |